similar to: Adding columns to a grouped data frame

Hello there! I have a really basic question. I have extracted some data from a big database. I have ordered the data in to different agegroups in the rows. Now I want to to have labels of the columns which is going to be divided into men , women and totals. How do I give names to a column? My data looks like this for the moment; 0-39 12 34 43 40-49 14 23 23 50-59 16

Hello! I've generated multiple data frames that I wish to export to excel using the function write.table. When I do so all the data is merged into a single column in excel. I Would like the columns of my data frame in separate columns in excel as well but it doesn't work. I tried to download the package WriteXLS and installed Perl on my computer just like it was recommended. I also tried

I have several datasets that come from different studies (fv02 and fv03), they represent different levels (patients and lesions), and they have different patient populations (itt, mitt, mitt3). I wanted to write some code that would pass my three requirements into a function I wrote, produce the output, but not have to require me to also pass a unique plot title or output filename for each

Hi dear R community, I have up to 12 measures of a protein for each of 6 patients, taken every two or three days. The pattern of the protein looks periodic, but the height of the peaks is highly variable. It's something like this: patient <- data.frame( day = c(1, 3, 5, 8, 10, 12, 15, 17, 19, 22, 24, 26), protein = c(5, 3, 10, 7, 2, 8, 25, 12, 7, 20, 10, 5) ) plot(patient$day,

Hi all, I have this microarray large microarray data set (ALL) from which I would like to subset or extract a set of data based on a factor ($mol.biol). I looked up some example of subsetting in, picked up two commands and tried both but I got error messages as follows > testset <- subset(ALL, ALL$mol.biol %in% c("BCR/ABL","ALL1/AF4")) >> Error in

Hi, I'd like to rank obs in a data frame as subset by 2 or more columns... The example input would look like the following: ====+====+====+====+ x y v -- -- -- a w 200 a w 100 b w 500 b w 200 b z 300 b z 400 ====+====+====+====+ And the data frame I want to create is below: ====+====+====+====+ x y v rank -- -- -- ---- a w 200 1 a w 100 2

Hello! I would like to add names to a table. The table presents median values, numbers of values (n) and percentage(%) for a given agegroup. Thus I would like to add a label above these three variables for each category. But if I try to use colnames I get a message telling me that the number of labels must be equal to the number of columns in the table. I hope someone could understand what I mean!

Dear R users, I have a data frame in the form below, on which I would like to make normality tests on the values in the ExpressionLevel column. > head(df) ID Plant Tissue Gene ExpressionLevel 1 1 p1 t1 g1 366.53 2 2 p1 t1 g2 0.57 3 3 p1 t1 g3 11.81 4 4 p1 t2 g1 498.43 5 5 p1 t2 g2 2.14 6 6 p1 t2 g3 7.85 I

Hello, I'm new to R but wan't to use it to compute the statistics of my medical study. The study includes several parameters for a number of patients. Each parameter was assessed by a number of readers, once with a special condition, once without. Now I have a data.frame with colums like: PatientID, ReaderID, SpecialCond(yes/no), Parameter1, Parameter2..... the rows are not sorted, and

For an Xray file system patients have folders and folders have studies. That is: patients folders studies id id id name patient_id folder_id ... label type ... ... The list of studies with their associated folder and patient might look like this: name folder_label study_type

Hi I have been asked by a colleague to perform a statistical analysis which uses random effects - but I am struggling to get this to work with nlme in R. Help would be very much appreciated! Essentially, the data consists of: 10 patients. Each patient has been given three different treatments (on three separate days). 15 measurements (continuous variable) have been taken from each patient

Dear list, I have been struggling with this for some time now, and for the last hour I have been struggling to make a working example for the list. I hope someone out there have some experience with plotting longitudinal data that they will share. My data is some patient data with three different time stamps. First the patients are identified at different times (first time stamp). Second, they

Hello, I need to subset my data to only look at the parts that have "holes" in it. I already have a formula to get rid of inconsistencies, but now I need to look only at the problem data to reconfigure it. In my data set where there are multiple "cycles" per "patient," and I want to highlight the patients who have a variable was not measured every cycle. Here's a

I am very new to R and programming and thank you in advance for your patience and help with a complete novice! I am working with a large multivariate data set that has 10 explanatory environmental variables (e.g. temp, depth) and over 60 response variables (each is a separate species). My data frame is set up like the simplified version below: JulianDay Temperature Salinity Depth Copepod

Dear List, I have a theoretical question related to epidemiological data analysis: If the treatment status (tx = 0,1) changes over time for the patients in a non-randomized cohort, is there a way to estimate the treatment effect? (i.e., after joining the study, some patients may have to wait for a period of time before receiving the treatment, i.e., the situation of patient with id == 2 for the

Hi experts. I have a tibble? with a column containing a nested list (<list<list<double>>>? data type to be specific). Looks something like the following (but in R/Arrow? format): ID Nestedvals 001 [[1]](1,0.1)[[2]](2,0.2)[[3]](3,0.3)[[4]](4,0.4)[[5]](5,0.5) 002 [[1]](1,0.1)[[2]](2,0.2)[[3]](3,0.3)[[4]](4,0.4) 003 [[1]](1,0.1)[[2]](2,0.2)[[3]](3,0.3) 004 [[1]](1,0.1)[[2]](2,0.2)

Hi, I am quite new to R and trying to analyze the following data. I have 28 controls and 25 patients. I measured X values of 4 different locations (A,B,C,D) in the brain image of each subject. And X ranges from 0 to 1. I think "control or patient" is a between subject factor and location is a within subject factor. So, controls: 28 patients: 25 (unbalanced data set) respone measure:

Hello, I didn't give enough information when I sent an query before, so I'm trying again with a more detailed explanation: In this data set, each patient has a different number of measured variables (they represent tumors, so some people had 2 tumors, some had 5, etc). The problem I have is that often in later cycles for a patient, tumors that were originally measured are now missing (or

Dear useRs, Am trying to use xtable on the following data.frame and I don't get what I expect: example.table <- data.frame(rbind( c("Gender"," "," "," "), cbind(rep(" ",2),c("Male","Female"),c(3.0,4.0),c(3/7,4/7)) )) colnames(example.table) <- c(" "," ","number of

Dear Jari Oksanen, I am Trinadh Kumar, a student of Biotechnology from Texas Tech University. I have a question for you regarding constrained ordination graphs. I had previously plotted constrained ordination graphs using distance based redundancy analysis for species data on patients. The species matrix consists of 70 patients and 274 species of bacteria.The metadata matrix consists of 10